System, device and methods for imaging of objects using electromagnetic array

1. A Radio Frequency (RF) device, the device comprising: an array, the array comprises at least two transducers, wherein at least one of said at least two transducers is configured to transmit a signal towards at least one object embedded in a medium, and at least one transceiver attached to said at least two transducers, the at least one transceiver is configured to transmit at least one RF signal toward the at least one object and receive a plurality of RF signals affected by the object while the array is moved in proximity to the medium; a data acquisition unit configured to receive and store said plurality of affected RF signals; and at least one processor unit, said at least one processor unit is configured and operable to: provide one or more hypothetical parameter values over a parameter space of said at least one object; provide a target model per hypothesis of said parameter values, and compute a score value per hypothesis as a function of the target model and the plurality of affected RF signals; generate at least two or three images, representing reflections of said plurality of affected RF signals depending on combinations of different polarizations; combine the at least two or three images to provide an image of said at least one object; and compute the direction of said at least one object based on said at least two or three images and wherein the at least two or three images are denoted as I xx , I yy , I xy and are combined using one of the following metrics: I 1 = sign ⁡ ( I xx + I yy ) · 1 4 ⁢ {  I xx + I yy  +  ( I xx - I yy ) + j ⁡ ( I xy + I yx )  } I 2 = log ⁡ ( J 0 ⁢ ( j · c S / C ·  ( I xx - I yy ) + j ⁡ ( I xy + I yx )  ) ) + c S / C ⁡ ( I xx + I yy ) I 3 = ( I xx + I yy ) 2 + 1 2 ⁢ ( I xx - I yy ) 2 + 1 2 ⁢ ( I xy + I yx ) 2 I 4 = max ⁡ (  I xx  ,  I yy  ) where J 0 is the Bessel-J function, j=√{square root over (1)}, c S/C is a constant and I yx =I xy .

2. The device of claim 1 , wherein said score value is processed by said at least one processing unit to provide said image of said at least one object.

3. The device of claim 2 , wherein said image comprises an image of a portion of said at least one object, said portion is located in proximity to the device or the array.

4. The device of claim 2 , wherein said image comprises an image of a portion of said at least one object, said portion is located in front of the device or the array in parallel or perpendicular to the device or the array.

5. The device of claim 2 , wherein said image is a 2D (two dimensional) or 3D (there dimensional) image.

6. The device of claim 1 , wherein said parameter space comprises one or more parameters selected from the group consisting of: depth, distance from a reference point, orientation, radius, location point (X, Y, Z) in a X-, Y-, Z-axis Cartesian coordinate system, dielectric constant.

7. The device of claim 1 , wherein the at least one object shape is selected from the group consisting of an elongated object, a plane layer, a single point.

8. The device of claim 7 , wherein the elongated object is one or more of a pipe, rebar or wire.

9. The device of claim 1 , wherein the at least one object or the medium are made of one or more of: plaster, stone, concrete, gypsum, iron, plastic wood, glass, plastic, gypsum, aluminum iron, stone, air, or combinations thereof.

10. The device of claim 2 , wherein the device is configured to be in communication with a mobile device comprising a processor and wireless communication circuitry to couple to the device, the processor comprising instructions to receive data on said at least one object and display the image of said at least one object on a display.

11. The device of claim 10 , wherein said at least one processor unit and said display are located in said mobile device.

12. The device of claim 1 , wherein said target model consists of a plurality of delays of transducers pairs of the at least two transducers of said array.

13. The device of claim 12 , wherein said target model consists of a plurality of amplitudes of transducers pairs of the at least two transducers of said array.

14. The device of claim 1 wherein said processing unit is configured to: compute a signaled value of an estimated reflection from each point in space in an area of said at least one object; sum signed images along a hypothesized trajectory of the at least one object for one or more of said at least one object directions; and select the at least one object trajectories with maximum absolute sum.

15. The device of claim 14 , wherein the sum is normalized by a function of the overall length of the at least one object.

16. The device of claim 8 , wherein said processing unit is configured to measure said pipe radius, said estimation comprises: obtaining an estimate of the affected signals in one or more directions parallel and perpendicular to the pipe; computing the time delay or amplitude ratio between at least two reflections of said reflections; and selecting a best fit of the measurements with simulated/modelled results of the time delay.

17. The device of claim 2 , wherein the image is constructed according to a strength level at each point in space of said at least one object.

18. The device of claim 2 , wherein the image is constructed according to a rendered graphical model of said at least one object, said rendered graphical model comprising the highest scores, above a threshold.

19. A Radio Frequency (RF) device, the device comprising: an array, the array comprises at least two transducers, wherein at least one of said at least two transducers is configured to transmit a signal towards at least one object embedded in a medium, and at least one transceiver attached to said at least two transducers, the at least one transceiver is configured to transmit at least one RF signal toward the at least one object and receive a plurality of RF signals affected by the object while the array is moved in proximity to the medium; a data acquisition unit configured to receive and store said plurality of affected RF signals; and at least one processor unit, said at least one processor unit is configured and operable to: provide one or more hypothetical parameter values over a parameter space of said at least one object; provide a target model per hypothesis of said parameter values, and compute a score value per hypothesis as a function of the target model and the plurality of affected RF signals; generate at least two or three images, representing reflections of said plurality of affected RF signals depending on combinations of different polarizations; combine the at least two or three images to provide an image of said at least one object; and compute the direction of said at least one object based on said at least two or three images and wherein the direction and polarization of said at least one object is based on said at least two images and is computed according to the following equation: θ ^ = 1 2 · angle ⁢ { ( ( I xx - I yy ) + j ⁡ ( I xy + I yx ) ) · ( I xx + I yy ) }